文件列表:

MultiThreaded/
SingleThreaded/
tests/
LICENSE
go.mod
main.go

# Go Multi-Threaded Single Machine MapReduce Framework ## Overview This project provides a basic implementation of a multi-threaded MapReduce framework in a single Golang process using Golang Threads (goroutines). The goal of this project is to simulate a typical clustered algorithm on a single machine, similating each machine using a thread, and networking (mappers to reducers) through Go Channels. ## Features - **Multi-Threaded Processing:** Utilizes goroutines in Go for concurrent execution of mapping and reducing tasks. - **Configurable:** Allows users to specify the number of reducers and customize the buffer size for communication channels. - **Flexible Implementation:** Users can define their own mapping and reducing logic based on the specific requirements of their MapReduce application. ## Usage 1. **Instantiate MultiThreadedMR:** ```go mr := NewMultiThreadedMR([]string{"file1.txt", "file2.txt", "file3.txt"}) ``` 2. **Process Data:** ```go mr.Process() ``` 3. **Implement Custom Logic:** - Fill in the `mapper` and `reduceFunction` methods with application-specific mapping and reducing logic. 4. **Results:** - The final aggregated result can be obtained based on the user-defined logic in the `reduceFunction`. ## Example ```go package main import ( "fmt" "github.com/your-username/MultiThreadedMapReduce" ) func main() { // Example usage mr := MultiThreadedMapReduce.NewMultiThreadedMR([]string{"file1.txt", "file2.txt", "file3.txt"}) mr.Process() fmt.Println("Processing completed.") } ``` ## How this works Typical multi-threaded processing framework with master-worker pattern. Threads are s wer Master thread distributes tasks and maintains status and overall process.

近期下载者：

相关文件：

评论：[我要评论] [举报此文件]

收藏者：